16results about How to "Improve automation management level" patented technology

The invention relates to the technical field of aquatic product oxygenation, and discloses an aquatic product oxygenation system and method based on an aquatic product floating head monitoring system, and the system comprises an oxygenation judgment module which is configured to collect the floating head condition of fishes in a to-be-detected water area, and judges whether the to-be-detected water area needs to be oxygenated or not; the oxygenation calculation module is configured to collect the content of dissolved oxygen in the water area to be detected and calculate the oxygenation content required by the water area according to the standard oxygen content of the water area; the oxygenation adjusting module is configured to collect the real-time air pressure value of the water area and adjust the oxygenation content needed by the water area for the first time according to the real-time air pressure value; the oxygenation adjusting module is further configured to collect the temperature of the water area in real time, conduct secondary adjustment on the oxygenation content needed by the water area according to the environmental factors, and conduct oxygenation on the water area with the oxygenation content needed by the water area after secondary adjustment as the final needed oxygenation content; and a storage module. According to the invention, efficient and accurate oxygenation control is realized through multi-dimensional data acquisition and intelligent judgment.

The utility model relates to the technical field of circuit breaker stroke induction, and provides a novel centrally installed switchgear circuit breaker stroke induction device, which comprises a cabinet body provided with a mounting cavity; the circuit breaker is arranged in the mounting cavity in a sliding manner; the first inductive switch is arranged in the mounting cavity; and the second inductive switch is arranged on the circuit breaker, and after the circuit breaker slides, the second inductive switch is driven to be in contact with or not to be in contact with the first inductive switch. By means of the technical scheme, the problems that in the prior art, installation is complex, and precision is limited are solved.

The invention discloses an escalator operation condition intelligent monitoring method and system, and the method comprises the following steps: collecting multi-source data of an escalator, including people flow data and equipment state data; preprocessing the collected data, wherein the preprocessing comprises data cleaning and data normalization; constructing an escalator danger early warning network EHPNet based on a Transform network and a graph neural network, and training the escalator danger early warning network EHPNet; and inputting the preprocessed multi-source data of the escalator into the trained escalator danger early warning network, and monitoring the operation condition of the escalator. According to the method, the operation condition is monitored by fusing the passenger flow data and the equipment state data of the escalator, comprehensive and real-time monitoring and deep insight of the passenger flow, the safe operation state and the equipment health state are achieved, and potential safety hazards can be found in time to guarantee elevator taking safety.

The utility model relates to a mine power supply and distribution power monitoring system and a mine power supply and distribution system comprising the same. The monitoring system comprises a comprehensive protector used for acquiring electric power data of electric power equipment in real time; the electric power monitoring station is used for inspecting the comprehensive protector in real time and receiving the electric power data; monitoring software is arranged in the monitoring host; and the switch is used for realizing data exchange between the monitoring host and the power monitoring station. According to the utility model, the functions of system generation, data acquisition, remote monitoring control and graphic display can be realized, the informatization and automation management level of a power supply and distribution system is improved, the power failure processing workload of a power supply management department is reduced, the power failure time caused by the power failure is shortened, unattended operation or few-person operation of an underground substation is realized, and the working efficiency is improved. And power monitoring can be carried out on all substations in a mine.

The application relates to the technical field of workshop early warning management, and specifically discloses a vaccination workshop environment microorganism concentration intelligent early warning system, which realizes real-time collection of environment parameter data of a vaccination workshop through an environment sensor network, extracts microorganism concentration key driving factors, and obtains key driving factor data; a causal network for microorganism concentration prediction is constructed based on the key driving factor data, and a causal network model is obtained; the environment parameter data set is subjected to microorganism concentration growth slope calculation according to the causal network model, then a regulation and intervention strategy is generated based on a counterfactual reasoning algorithm and intervention effect simulation is carried out, so that an optimal regulation and control scheme is output; the intelligent level and response precision of microorganism pollution prevention and control are greatly improved, the adaptability of the system to a complex dynamic environment is enhanced, energy waste or system disturbance caused by excessive intervention is avoided, and the workshop automation management level is improved.

The invention relates to the technical field of flooding intrusion information management and control, in particular to a multistage linkage protection method for preventing a plant from being flooded. The method comprises the following steps: performing three-dimensional modeling processing on the hydropower house according to physical construction parameters of the hydropower house to generate a three-dimensional model of the hydropower house; performing water level gauge distribution configuration analysis according to the three-dimensional model of the hydropower station workshop to generate water level gauge distribution configuration data; performing water level monitoring processing on the water level gauge equipment through the water level gauge distribution configuration data to generate water level monitoring data; performing real-time monitoring drainage flow analysis on the main shaft sealing drainage pipeline of the hydropower station plant to generate real-time monitoring drainage flow data; executing drainage flow monitoring feedback operation based on the real-time monitored drainage flow data; and water level monitoring feedback control operation is performed on the water level monitoring data through a distribution box relay arranged in the water level monitoring equipment. According to the invention, safe and reliable multi-point linkage protection for preventing the plant from being flooded is realized.

The present invention relates to the field of air purification technology, and in particular to a distributed intelligent control system and an air purifier. The system includes a distributed control network establishment module, a parameter collection module for the area where the purifier is located, a regional component service life estimation module, and a distributed intelligent control module for the area to be purified. The air purifier can be installed and deployed in the area to be purified, and a quick connection and hotspot compatible distribution network and distributed node design can be performed. At the same time, the corresponding air purifier filter and UV lamp operating parameters are monitored in real time, and sent to the respective data processing centers for component remaining service life estimation and uploaded to the central control system for threshold division distributed intelligent control, generating replacement reset control strategies and purification adjustment control strategies to execute air purifier component replacement reset control work and distributed purification adjustment control work in the area to be purified. The present invention can better improve the air purification adjustment control effect.

The invention relates to the technical field of automobile intelligent chassis, in particular to a vehicle active stabilizer bar control method and device.The method comprises the steps that at least one whole vehicle index of a vehicle is collected, meanwhile, the current working condition of the vehicle is detected, and when the current working condition is a turning working condition, the vehicle active stabilizer bar is controlled; the target torque of each semi-stabilizer bar of the active stabilizer bar is obtained according to the at least one whole vehicle index, proportional-integral-differential (PID) closed-loop control is conducted on each semi-stabilizer bar according to the target torque and the actual torque of each semi-stabilizer bar, and the corrected torque of each semi-stabilizer bar is obtained till the actual torque reaches the target torque. According to the embodiment of the invention, PID closed-loop control can be carried out based on the whole vehicle index feedback, and the torque applied to each semi-stabilizer bar is calculated, so that the accurate control of the active stabilizer bar is realized, the accuracy and the real-time performance of torque calculation are enhanced, the control reliability and the user experience are effectively ensured, the suppression effect of vehicle body roll is improved, and the driving experience is improved.

The invention discloses a power management method and device, and belongs to the technical field of power management, and the method comprises the steps: S1, configuring a traversal instruction triggering condition, a time calibration task and a timing task for a time node of a cycle time wheel; s2, judging whether a traversal instruction triggering condition of a cycle time wheel is reached or not; when a traversal instruction triggering condition is reached, executing S3, otherwise, executing S2; and S3, receiving and executing the time calibration task through the power management equipment, synchronizing the local time with the network time, then matching the execution time of the timing task, and triggering the timer to execute the timing task. According to the scheme, the time node of the cycle time wheel configures the traversal instruction triggering condition, the time calibration task and the timing task, the power management device receives and executes the time calibration task when the traversal instruction triggering condition is met, then the timing task is executed, timing management can be carried out on the power supply of the electrical equipment, and the power management efficiency is improved. And the reliability of power management is obviously improved.

The application discloses a controllable cold energy releaser and a cold storage system, and belongs to the technical field of cold storage energy saving. The controllable cold energy releaser comprises a refrigeration mechanism, a container, a cold storage medium, air ducts and a cold energy release control mechanism. The container is internally provided with the cold storage medium. The container is open at both ends and is integrally provided with heat preservation blocks at the openings. The air ducts are arrayed in the container. The air ducts are penetrated through the heat preservation blocks on both sides and are connected with the cold energy release control mechanism. The refrigeration mechanism is connected with the container and is used for refrigerating the cold storage medium. The outer wall of the container is provided with a heat preservation material layer. The heat preservation material layer is used for blocking the cold energy exchange between the cold storage medium and the outside. The controllable cold energy releaser can realize the controllable release of the cold energy of the cold storage medium, so that the energy saving and consumption reducing effect is further improved, and the automatic management level is improved.

The present invention relates to the technical field of medical Internet of Things. The present invention provides an intelligent specimen storage system based on the Internet of Things. The intelligent specimen storage system comprises a server, a test tube specimen with an identity identification code attached thereto, a storage module, an induction metering module, a mark collection module, a mark evaluation module and a specimen steering module. The storage module stores the identified test tube specimen, the induction metering module measures the stored test tube specimen, the mark collection module collects the identity identification code of the test tube specimen, the mark evaluation module compares the identity identification code according to the identity identification code obtained by the mark recognition module to form a comparison result, and the specimen steering module triggers the steering of the test tube specimen according to the comparison result. The present invention enables the dosage of the test tube specimen to be accurately monitored through the mutual cooperation between the storage module and the induction module, and ensures that the entire system has the advantages of high dosage monitoring accuracy, high intelligence and reliable dosage management.

The invention belongs to the technical field of mining area electrical explosion prevention, and particularly relates to a mining flame-proof and intrinsically safe high-voltage combined vacuum power distribution device and method, and the device comprises a power distribution loop compartment, a bus compartment, a centralized control compartment, and a secondary independent wiring compartment. Wherein the power distribution loop compartment is an independent explosion-proof compartment, the bus compartment adopts an upper-layer and lower-layer reserved door structure and corresponds to the power distribution loop compartment, and the centralized control compartment is connected with a circuit breaker of the power distribution loop compartment and a mutual inductor of the bus compartment through a control cable, receives various sensor signals and sends out control instructions; the centralized control compartment is used for completing power distribution control, voltage, current and temperature signal acquisition, network communication, operation display and power supply control. The device is reasonable in layout, installation, maintenance and overhaul of each compartment are facilitated, the safety of the device is enhanced, the maintenance workload and the maintenance cost of the equipment are reduced, and an operator can conveniently know the operation state of the equipment in time and find potential faults in advance.

The invention relates to the technical field of transformer substation foreign object invasion prevention, in particular to a transformer substation foreign object invasion prevention system and method.The transformer substation foreign object invasion prevention system comprises a small animal recognition and driving device, a power supply control device, a power supply control device, a power supply control device, a power supply control device and a power supply control device, and the small animal recognition and driving device is used for recognizing and driving small animals in a cable trench, a switch cabinet cable inlet and a relay protection chamber cable layer; the ground equipment monitoring device is used for monitoring all equipment on the ground in the transformer substation; the access control system is used for managing and recording personnel and vehicles entering and exiting the transformer substation; the toxic gas detection device is used for detecting the concentration of toxic gas in the cable trench; the oxygen content detection device is used for detecting the oxygen content in the environment, so that the early warning and coping capability of preventing foreign object invasion of the transformer substation is improved, and the influence of potential safety hazards such as small animal invasion on a power system is effectively reduced; the comprehensive monitoring of all ground equipment in the transformer substation is realized, and hidden dangers are found and processed in time; the security and protection efficiency of personnel and vehicles entering and exiting the transformer substation is improved.

The present invention discloses a sewage treatment equipment fault monitoring method based on cloud computing, which specifically relates to the technical field of cloud computing. The specific steps include collecting water signals and electrical signals of water treatment equipment through sensors and transmitting them to a cloud computing platform, using a distributed database of the cloud computing platform to store the water signals and electrical signals and pre-process the data, processing and analyzing the water signals and electrical signals, using a machine learning algorithm to build a fault detection model, using historical fault data and regular operation data of the water treatment equipment for label training, evaluating the performance of the fault detection model through cross-validation, using the monitoring service of the cloud computing platform to monitor the equipment operation status in real time, predicting the operation data of the water treatment equipment according to the fault detection model, and triggering an alarm mechanism when an abnormal fault of the water treatment equipment is predicted, thereby effectively solving the problem of shortage of data processing capacity in large-scale high-standard sewage treatment plants.

The present application relates to the field of artificial intelligence technology, and to a farming status monitoring method and system based on visual monitoring. The present invention utilizes a farming status abnormality diagnosis network to automatically extract feature vectors of visual data of a farming area, and compares it with the detection content of a farming status expert, effectively integrating artificial intelligence and the wisdom of human experts. By introducing a diagnostic boundary offset reinforcement amount, the boundary between different abnormal diagnosis labels is strengthened, so that the network can more accurately identify subtle changes in the farming status during the training process, thereby generating a more accurate network training error. Based on the network training error, the parameters of the farming status abnormality diagnosis network are updated to continuously optimize the classification ability of the network. Finally, the updated network is used to perform real-time abnormality diagnosis of the target farming area, and abnormal diagnosis label diagnosis results can be quickly generated, providing data support for the management decision-making of the farm and improving the level of automated management of the farm.

The present invention discloses a service call intelligent management method and system based on a data exchange platform, which relates to the technical field of service call, and comprises the following steps: obtaining a plurality of connection pool sizes to be screened; applying the plurality of connection pool sizes to be screened to intelligent management of service calls, and respectively obtaining corresponding scheduling data and concurrent exception data under high concurrent load; constructing a connection pool size evaluation model based on machine learning according to the scheduling data and concurrent exception data; constructing a scheduling evaluation curve with the connection pool size evaluation model and the corresponding connection pool size; performing data analysis on the scheduling evaluation curve to obtain the screened connection pool size, and applying it to intelligent management of service calls. The present application is used to solve the problem that the connection pool size setting is unbalanced, resulting in waste of system resources or increased request delay, thereby affecting the overall performance and stability of service calls.